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A novel view on information content of concepts in extremely large ontologies.

Semantic distance and semantic similarity are two important information retrieval measures used in word sense disambiguation as well as for the assessment of how relevant concepts are with respect to the documents in which they are found. A variety of calculation methods have been proposed in the literature, whereby methods taking into account the information content of an individual concept outperform those that don't. In this paper, we present a novel recursive approach to calculate a concept's information content based on the information content of the concepts to which it relates. The method is applicable to extremely large ontologies containing several million concepts and relationships amongst them. It is shown that a concept's information content as calculated by this method provides additional information with respect to an ontology that cannot be approximated by hierarchical edge-counting or human insight. In addition, it is suggested that the method can be used for quality control within large ontologies.

Algorithms↗

Probability estimation for biomedical classification problems.

Suppose that we wish to know the probability that an object belongs to a class. For example, we may wish to estimate the probability that a patient has a particular disease, given a set of symptoms, or we may wish to know the probability that a novel peptide binds to a receptor, given the peptide's amino-acid composition. The conventional approach is to first use a classification algorithm to find partitions in feature space and to assign each partition to a class, and then to estimate the conditional probabilities as the proportion of patients or peptides that are correctly and incorrectly classified in each partition. Unfortunately, this estimation method often gives probability estimates that are in error by 20% or more, and thus can cause incorrect decisions. We have implemented and compared alternative methods. In Monte Carlo simulations the alternative methods are substantially more accurate than is the current method.

Epidemiology↗

Medical activities and statistics.

The evaluation of the medical activity is a major concern for hospitals and public health services. With the introduction of coding (IDC-10 and CHOP classifications) hospitals are now able to analyze their medical activity. A way to improve physicians' acceptance in analyzing their work is to give them valuable feedback information. Building statistics tools is costly and time consuming. Therefore introducing data warehouse tools is helpful. Nice Code is an easy-to-use software that helps medical encoding while immediately offering understandable statistics. In Switzerland, physicians demand real feedback based on the data transmitted at the "cantonal" or federal levels and more transparency in third payer's decisions. In this respect, several cantons decided to equip public health services and hospitals with this tool. The goal is to give, physicians and economists, powerful tools for analyzing the medical activity.

Hospital Information Systems↗

Facilitating knowledge maintenance of clinical guidelines and protocols.

Clinical protocols and guidelines are widely used in the medi-cal domain to improve disease management techniques. Different software systems are in development to support the de-sign and the execution of such guidelines. The bottleneck in the guideline software developing process is the transformation of the text-based clinical guidelines into a formal representation, which can be used by the execution software. This paper introduces a method and a tool that was designed to provide a solution for that bottleneck. The so-called Guideline Markup Tool (GMT) facilitates the translation of guidelines into a formal representation written in XML. This tool enables the protocol designer to create links between the original guideline and its formal representation and ease the editing of guidelines applying design patterns in the form of macros. The usefulness of our approach is illustrated using GMT to edit Asbru protocols. We performed a usability study with eight participants to examine the usefulness of the GMT and of the Asbru macros, which showed that the proposed approach is very appropriate to author and maintain clinical guidelines.

Clinical Protocols↗

Health education and teleinformatics.

In the course of the last years, the development of teleinformatics caused that the Internet services have become more and more popular. The Internet means reaching new possibilities, which are provided by fast, easy and two-direction access to the required information. These features make the Internet one of the most important tools applied in health education increasing the knowledge, skill and motivation of an individual for health self-care.

Health Education↗

Quality control in a medical information system.

Quality assurance techniques provide an opportunity to identify sources of error and to provide the feedback necessary to prevent their repetition. The authors outline an effort to define the steps required for effective quality management procedures in a computerized medical information system (MIS). The computerized management of medical information can be used not only to enhance current quality management activities but also to extend the realm of quality assurance to areas that have heretofore resisted management. Quality-management techniques have the potential for measuring and improving medical decision making processes central to patient care.

Abstracting and Indexing↗

Identification of drugs in physiological fluids following on-line liquid chromatographic purification and analysis.

This paper describes the application of an automated algorithm for drug identification following the liquid chromatographic on-line separation and purification of drugs in physiological fluids. Two hundred fifty-seven (257) drugs and 45 drug metabolites were assembled for testing. Two internal standards were used which monitored different columns in the multi-step analytical separation. Retention reproducibility over a nine month period was 4 p. cent or less for most drugs. The algorithm for matching unknown peaks against the stored library utilized relative retention, lambda maxima, normalized spectral overlays, wavelength ratios and zero-intercepts from the second derivative in a combined forward-reverse search. Most of the drugs which could not be unambiguously identified were sedatives which eluted in the first minutes of the chromatogram. Diasteromers were partially resolved. Repetitive analysis of 200-400 micrograms/l of amphetamine, diphenhydramine, imipramine and morphine were evaluated to establish an absorption cutoff of 12 mAbs, above which at least 95% of peaks were correctly identified. This corresponded to a signal-to-noise ratio of 12 for the scanning UV detector which was evaluated.

Algorithms↗

The South Dakota Med-Fax network.

Health sciences librarians established a statewide medical information network in South Dakota to provide rural physicians with database access and rapid document delivery. A private grant funded equipment for interactive simultaneous remote searching (ISRS) and telefacsimile transmission, as well as for a coordinator for training and follow-up support. In less than one year, telefacsimile technology has become an integral part of library information transfer among sixteen network sites, and ISRS is gaining acceptance among physicians who lack local access to online databases.

Copying Processes↗

Computers in the medical workplace.

Whether your greatest need is to have a neatly typed letter or an accurately aged accounts receivable report, or it's critical that you create an electronic medical record for decision support, the computer in the medical workplace should: 1. Save time for staff and patients. 2. Be convenient to use. 3. Respond quickly to the user. 4. Be flexible. 5. Free staff for intelligent work. 6. Minimize or eliminate redundancy. 7. Allow retrospective retrieval. If your computer and software produces the above results, you've chosen appropriate software and right equipment for your specific needs and your work place.

Computers↗

Development and assessment of a computerized index of clinical disease activity in systemic lupus erythematosus. Members of the British Isles Lupus Assessment Group (BILAG).

Five centres in Great Britain and the Republic of Ireland have collaborated to produce a computerized index of clinical disease activity in systemic lupus erythematosus, based on the principle of the physician's intention to treat. The index assesses separately eight organ-based systems. The index has proved quick and easy to use despite a comprehensive database and compares favourably with two other indices of disease activity. It has great potential for use in multicentre studies of disease outcome and new therapies in systemic lupus erythematosus.

Humans↗